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AM has enabled the handling and manufacturing of a wide variety of components, and its accessibility has enabled more individuals to make. While smaller than their production-scale counterparts, the objectives of minimizing technician overhead, capital expenditure, and job response time remain the same. The typical First-Come First-Serve (FCFS) operating model, while functional, is not necessarily the most efficient and makes responding to a-typical or urgent demand profiles difficult. This article reports a study that investigated how AM machines configured with Minimally Intelligent agents can support production in these environments. An agent-based model that simulated 5, 10, 15, and 20\u00a0AM machines operating a 9\u00a0am\u22125\u00a0pm pattern and experiencing a diverse non-repeating demand profile was developed. Machines were configured with minimal intelligence \u2013 FCFS, First-Response First-Serve (FRFS), Longest Print Time (LPT), Shortest Print Time (SPT), and Random Selection logics \u2013 that governed the selection of jobs from the job pool. A full factorial simulation totaling 15,629 configurations was run until convergence to a ranked list of production performance \u2013 min Job Time-in-System. Performance changed as much as 200%. Performant configurations featured a variety of logics, while the least performant were dominated by FCFS and LPT. All FCFS (a proxy for today\u2019s operations) was one of the least performant configurations. The results provide an optimal set of logics and performance bands that can be used to justify capital expenditure and AM operations in Makerspaces.<\/jats:p>","DOI":"10.1017\/s0890060423000239","type":"journal-article","created":{"date-parts":[[2024,1,17]],"date-time":"2024-01-17T11:48:17Z","timestamp":1705492097000},"update-policy":"https:\/\/doi.org\/10.1017\/policypage","source":"Crossref","is-referenced-by-count":4,"title":["Optimal configurations of Minimally Intelligent additive manufacturing machines for Makerspace production environments"],"prefix":"10.1017","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2125-0466","authenticated-orcid":false,"given":"James","family":"Gopsill","sequence":"first","affiliation":[]},{"given":"Mark","family":"Goudswaard","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2692-110X","authenticated-orcid":false,"given":"Chris","family":"Snider","sequence":"additional","affiliation":[]},{"given":"Lorenzo","family":"Giunta","sequence":"additional","affiliation":[]},{"given":"Ben","family":"Hicks","sequence":"additional","affiliation":[]}],"member":"56","published-online":{"date-parts":[[2024,1,17]]},"reference":[{"key":"S0890060423000239_r17","doi-asserted-by":"crossref","first-page":"1753","DOI":"10.1177\/0954405417708217","article-title":"Investigating the effect of scale and scheduling strategies on the productivity of 3D managed print services","volume":"232","author":"Gopsill","year":"2018","journal-title":"Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture"},{"key":"S0890060423000239_r41","first-page":"1","article-title":"A model for managing 3D printing services in academic libraries","volume":"72","author":"Scalfani","year":"2013","journal-title":"Issues in Science and Technology Librarianship"},{"key":"S0890060423000239_r11","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1111\/j.1468-0394.2005.00304.x","article-title":"Using edit distance to analyze card sorts","volume":"22","author":"Deibel","year":"2005","journal-title":"Expert Systems"},{"key":"S0890060423000239_r22","first-page":"226","article-title":"Autonomous resource allocation of smart workshop for cloud machining orders","volume":"35","author":"Hui","year":"2021","journal-title":"AI EDAM"},{"key":"S0890060423000239_r42","volume-title":"Cape Town, South Africa: Open African Innovation Research (Open AIR).[Google Scholar]","author":"Schonwetter","year":"2018"},{"key":"S0890060423000239_r33","doi-asserted-by":"publisher","DOI":"10.18293\/SEKE2018-110"},{"key":"S0890060423000239_r9","unstructured":"Cliff, D (1997) Minimal-Intelligence Agents for Bargaining Behaviors in Market-Based Environments. 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